大象传媒

Our Robotics MSc is a multi-disciplinary course that allows you to explore the integration of mechanical devices, sensors, electronics and 鈥榠ntelligent computer-based controllers while completing an individual research project. This course is suitable for graduates in engineering or a related scientific background who wish to gain a valuable grounding for careers in research or industry. Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to fully meet the CEng registration educational requirements. Period of accreditation: 2024-2028

Key benefits

• Opportunity to focus on intelligent systems and robotics and gain valuable experience in designing robotic devices and delivering smart engineering solutions.
• Located in central London, giving access to major libraries and leading scientific societies including the Chartered Institute for IT (BCS), the Institution of Engineering and Technology (IET) and the Institution of Mechanical Engineers (IMechE).
• The Centre for Robotics Research at King's is renowned for its multidisciplinary research at the interfaces between robotics and artificial intelligence. Our labs offer state-of-the-art equipment and testbeds, alongside various commercial robotic platforms (from legged and wheeled mobile robots to manipulators and humanoids), required for developing validating and demonstrating robotic and autonomous systems, mechatronics and controls.

Employability

Our graduates have continued on to have very successful careers in industry and research, working areas such as manufacturing, automotive and aerospace. Recent employers include Cummins Inc and Transport Alstom.

Destinations

Recent graduates have found employment within the following job roles and companies:

• Software Engineer, Cognity SA
• Consultant Engineer, HMG Systems
• Project Manager, Swissbit AG
• Manager, Uber
• Automation Engineer, FT Technologies
• PhD, University of Texas